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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Metal artifact reduction on cervical CT images by deep residual learning
|
|---|---|
| Published in |
BioMedical Engineering OnLine, November 2018
|
| DOI | 10.1186/s12938-018-0609-y |
| Pubmed ID | |
| Authors |
Xia Huang, Jian Wang, Fan Tang, Tao Zhong, Yu Zhang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 14% |
| Student > Ph. D. Student | 7 | 13% |
| Student > Master | 5 | 9% |
| Other | 4 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 25 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 14% |
| Computer Science | 7 | 13% |
| Physics and Astronomy | 4 | 7% |
| Engineering | 4 | 7% |
| Chemical Engineering | 1 | 2% |
| Other | 7 | 13% |
| Unknown | 25 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 March 2019.
All research outputs
#20,561,572
of 23,136,540 outputs
Outputs from BioMedical Engineering OnLine
#694
of 827 outputs
Outputs of similar age
#373,462
of 438,118 outputs
Outputs of similar age from BioMedical Engineering OnLine
#16
of 23 outputs
Altmetric has tracked 23,136,540 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 827 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 438,118 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.